Insights
Notes from the data gap.
How we think about digital twins, synthetic data, and building AI that survives contact with reality.
Categories
Articles
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How to interrogate a digital twin, ours included
The questions that separate a validated twin from a merely confident one, and the check our engine is built to fail.
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Physics-anchored vs black-box AI twins
Why a twin that only recognises patterns will guess, and guess wrong exactly where it matters.
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The data gap is biotech’s real bottleneck
Different data problems need different responses: build a usable dataset, or compare experiments virtually.
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Microgravity research without a flight mission
Flight missions are rare, expensive and high-risk. How far can ground-based simulation take you, and where can’t it go?
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Synthetic data when real data is restricted
How to test generated data for usefulness and privacy without treating it as a compliance shortcut.
Working through a difficult research or data question?
Start with the model you're building, the experiment you're choosing or the data standing in the way.